United States Department of Transportation
i
App-based crowd sourcing of bicycle and pedestrian conflict data : final report.
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2017-01-15
[PDF-7.81 MB]
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Abstract:Most agencies and decision-makers rely on crash and crash severity (property damage only, injury or fatality) data
to assess transportation safety; however, in the context of public health where perceptions of safety may influence
the willingness to adopt active transportation modes (e.g. bicycling and walking), pedestrian-vehicle and other
similar conflicts may represent a better performance measure for safety assessment. For transportation safety, a clear
conflict occurs when two parties’ paths cross and one of the parties must undertake an evasive maneuver (e.g.
change direction or stop) to avoid a crash. Other less severe conflicts where paths cross but no evasive maneuver
occurs may also impact public perceptions of safety. Most existing literature on conflicts focuses on vehicle
conflicts and intersections. While some research has investigated bicycle and pedestrian conflicts, most of this has
focused on the intersection environment. In this project, we propose field testing a crowd-sourced data app to better
understand the continuum of conflicts (bicycle/pedestrian, bicycle/vehicle, and pedestrian/vehicle) experienced by
pedestrians and cyclists; the study also tests the effectiveness of the app and its associated crowd-sourced data
collection. This study assesses the data quality of the crowd sourced data and compares it to more traditional data
sources while performing hot spot analysis. If widely adopted, the app will enable communities to create their own
data collection efforts to identify dangerous sites within their neighborhoods. Agencies will have a valuable data
source at low-cost to help inform their decision making related to bicycle and pedestrian education, enforcement,
infrastructure, programs and policies.
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